Case: Kim v. Villanova University

Playfulness came into education at a later date. There are two main theoretical paradigms around play and both are relevant to a discussion around serious games for education. Modern theories aim to mainly describe the benefits of play, and classical theories tend to focus on the reasons for play. The classical theories include explanations for children needing play like ‘surplus energy’, [4] a...

Affective computing has been the focus of artificial intelligence for several years. The amalgamation of affective computing and facial expression recognition technique has lead to the possibility of harmonious human-computer interaction in E-learning. But the fact of E-learning is that emotional absences between computer and E-learner are serious. This paper researches into the learning emotio...

This paper introduces seven genres of the digital media projects that can help the 21st century EFL learner develop intercultural communication capability (ICC) in English with creativity afforded by emerging digital media. It is based on a project by the author and a group of pre-service teachers during the Fall semester of 2012-2013. Guided by a list of suggested topics and the concept of lea...

Advances in ubiquitious and mobile technologies have facilitated learners to continue their learning outside their classrooms, when and where they desire. Learners are now able to access their learning resources and interact with their peers and teachers through technology. The design and creation of such learning spaces pose many challenges. The learner’s context defines the needs of the learn...

The purpose of this paper is to report the development a web-based learning community system called 'the Robot Studio,' in which learners are helped to create autonomous robots. As an online robot contest is held in the Robot Studio, learners upload some still and moving graphics, as well as program files of their robots, and participate in a competition where they can interact and rate their w...

Nexus Network Learner is an intelligent agent based simulation used to study Irregular Warfare (IW) in several major studies at the Department of Defense (DoD). Heterogeneous autonomous agents, each with their own separated inductive learning mechanism, have initial attributes and behaviors in proportion to demographic groups in the simulated population, and learn new behaviors as they serve cu...